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Data Engineer Jobs in Monument, CO (NOW HIRING)

Data Engineer The Opportunity: Achieving data dominance provides a critical competitive advantage, especially in the frontier of space. For USSPACECOM, high-fidelity simulations rely entirely on the ...

Data Engineer

Colorado Springs, CO · On-site

$61K - $141K/yr

R0246414 Data Engineer The Opportunity: Achieving data dominance provides a critical competitive advantage, espe cia lly in the frontier of space. For USSPACECOM, high-fidelity simulations rely ...

Data Engineer - SPACECOM Location: On-Site, Colorado Springs, CO Clearance Level: Top Secret, Must Have Clearance to Start Agile Defense is seeking a Data Scientist / Engineer to support the design ...

Data Engineer - NORTHCOM Location: On-Site, Colorado Springs, CO Clearance Level: Top Secret, Must Have Clearance to Start Agile Defense is seeking a Data Scientist / Engineer to support the design ...

Data Engineer - SPACECOM Location: On-Site, Colorado Springs, CO Clearance Level: Top Secret, Must Have Clearance to Start Agile Defense is seeking a Data Scientist / Engineer to support the design ...

Data Engineer - SPACECOM

Colorado Springs, CO · On-site

$112K - $135K/yr

Data Engineer - SPACECOM Location: On-Site, Colorado Springs, CO Clearance Level: Top Secret, Must Have Clearance to Start Agile Defense is seeking a Data Scientist / Engineer to support the design ...

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Data Engineer information

See Monument, CO salary details

$43K

$125.3K

$171.4K

How much do data engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for data engineer in Monument, CO is $125,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,600.00 and $132,800.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

What are the most commonly searched types of Data Engineer jobs in Monument, CO?

The most popular types of Data Engineer jobs in Monument, CO are:

What are popular job titles related to Data Engineer jobs in Monument, CO?

For Data Engineer jobs in Monument, CO, the most frequently searched job titles are:

What cities near Monument, CO are hiring for Data Engineer jobs?

Cities near Monument, CO with the most Data Engineer job openings:

Infographic showing various Data Engineer job openings in Monument, CO as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $125,282 per year, or $60.2 per hour.

$61K - $141K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 19 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

11th of 72 rated business consultants


Job description

Data Engineer

The Opportunity:
Achieving data dominance provides a critical competitive advantage, especially in the frontier of space. For USSPACECOM, high-fidelity simulations rely entirely on the quality, speed, and structure of underlying data. We need a dedicated data engineer to build the robust data infrastructure that makes these advanced simulations possible.

As a data engineer at Booz Allen, you will focus on the foundational layer of our customer's modeling, simulation, and analysis environment. You will design, build, and deploy the scalable data pipelines that ingest disparate, multi-domain, and multi-classification data sources and transform them into clean, structured schemas. Your work will directly empower our multi-disciplinary team of exercise planners, systems architects, data scientists, and model-based system engineers to draw insights and execute mission-critical models.

Work with us to build the data foundation for the future of space operations.

Join us. The world can't wait.

You Have:

  • Experience in object-oriented programming such as Python, Java, or C++ and advancedSQL

  • Experience integrating APIs, designing data schemas, and normalizing complex, disparate datasets

  • Knowledge of database systems and data warehousing principles

  • Ability to design, build, and maintain robustETL/ELT data pipelinesat scale

  • TS/SCI clearance

  • Bachelor's degree in Data Science, Data Engineering, Computer Science, Software Engineering, or a STEM field

Nice If You Have:

  • Experience with infrastructure-as-code (IaC) and automation scripts

  • Experience integrating withPalantir Foundryor similar enterprise data fabrics

  • Experience with streaming data processing such as Apache Kafka or Spark

  • Experience working in an Agile engineering environment and supporting MLOps pipelines

  • Master's degree in a quantitative or systems-focused STEM field

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information;TS/SCIclearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $61,900.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.


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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914